Study on propagation of leakage noise of pipelines in utility tunnels based on voiceprint recognition

Abstract

Pipeline leakage is one of the most failures in utility tunnels, highlighting the critical need for effective leakage monitoring. Voiceprint recognition, as an emerging fault monitoring technique, is particularly suitable for monitoring pipeline leaks in these environments. To effectively implement voiceprint recognition for utility tunnel monitoring, it is necessary to obtain information about the propagation of leakage noise. However, the existing simulation methods cannot solve the complex multiphysical field coupling problem for leakage noise propagation in utility tunnel. To address the issue, this paper presents a simulation method based on a fluid–structure-acoustic (FSA) coupling to model the propagation of pipeline leakage noise in utility tunnels. The paper first experimentally investigates the effects of leak aperture size and pipe pressure on the leakage noise, then analyzes the propagation and attenuation of the noise in the utility tunnel. Additionally, it compares the experimental and simulation results, optimizes the simulation method, and reduces the simulation error to within 3 dB. Finally, the validated simulation method is applied to an actual utility tunnel in China, revealing the propagation patterns of tunnel noise under various leakage conditions.